from flask import Flask,request,jsonify
import pandas as pd
from itertools import combinations

app = Flask(__name__)

#加载模型
frequent_itemsets = pd.read_pickle('./frequent_itemsets.pkl')
rules = pd.read_pickle('./rules.pkl')

@app.route('/recommend',methods=['POST']) 
def recommend():
    data = request.json.get('items',[])
    
#生成关联规则推荐
    recommendDations = []
    for idx, rule in rules.iterrows():
        antecedents = list(rule['antecedents'])
        consequents = list(rule['consequents'])
        
        #检查规则前件是否跟输入匹配

        if set(antecedents).issubset(set(data)):
            recommendDations.extend(consequents)
            
        #去重并返回结果
        recommendDations = list(set(recommendDations) - set(data))
        # 返回推荐结果
        return jsonify({"recommendDations": recommendDations})

if __name__ == '__main__':
    app.run(debug=True)
